Deep Learning and Parallel Computing Environment for Bioengineering Systems


Deep Learning and Parallel Computing Environment for Bioengineering Systems
By 作者:Dr. Sangaiah, Arun Kumar
pages 页数: 280 pages
Publisher Finelybook 出版社: Academic Press (10 Aug. 2019)
Language 语言: English
ISBN-10 书号:0128167181
ISBN-13 书号:9780128167182
Book Description to Finelybook sorting
Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations’ needs as well as practitioners’ innovative ideas.

Contents


1 Parallel Computing,Graphics Processing Unit(GPU)and New
Hardware for Deep Learning in Computational Intelligence
Research
2Big Data Analytics and Deep Learning in Bioinformatics With
Hadoop
3Image Fusion Through Deep Convolutional Neural Network
4 Medical lmaging With Intelligent Systems:A Review
5 Medical lmage Analysis With Deep Neural Networks
6Deep Convolutional Neural Network for lmage Classification on
CUDA Platform
7 Efficient Deep Learning Approaches for Health Informatics
8 Deep Learning and Semi-Supervised and Transfer Learning
Algorithms for Medical Imaging
9 Survey on Evaluating the Performance of Machine Learning
Algorithms:Past Contributions and Future Roadmap
10 Miracle of Deep Learning Using loT
11 Challenges in Storing and Processing Big Data Using Hadoop
and Spark
12 An Efficient Biography-Based Optimization Algorithm to Solve
the Location Routing Problem With Intermediate Depots for
Multiple Perishable Products
13Evolutionary Mapping Techniques for Systolic Computing
System
14 Varied Expression Analysis of Children With ASD Using
Multimodal Deep Learning Technique
15Parallel Machine Learning and Deep Learning Approaches for
Bioinformatics
Index
Back Cover
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